tinyllama
OLLAMA GGUFMar 6, 2026 · Apple M4
qwen3.6-35b-a3b-claude-4.7-opus-reasoning-distilled-apex
LM-STUDIO GGUFqwen35moe · 35B
Aug 19, 2026 · Apple M4 Max
Global Score
43 vs 88
Hardware Fit
100 vs 80
Quality Score
19 vs 92
Hardware
tinyllama qwen3.6-35b-a3b-cl…
MachineMacBook AirMacBook Pro
CPUApple M4Apple M4 Max
Cores1016
RAM32 GB128 GB
GPUApple M4Apple M4 Max
OSmacOS 26.3macOS 26.5.2
Archarm64arm64
Power Modebalancedbalanced
Performance
tinyllama qwen3.6-35b-a3b-cl…
Tokens/sec133.476.7
First chunk61 ms29 ms
TTFT61 ms30.0 s
Load time0.5 sN/A
Memory usage0.2 GB23.9 GB
Memory %1%19%
HW Fit Score Breakdown
tinyllama
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.6-35b-a3b-claude-…
Speed
50/50
TTFT
0/20
Memory
30/30
Quality
tinyllama
Reasoning
2/20
Coding
2/20
Instruction
7/20
Structured
5/15
Math
0/15
Multilingual
3/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Weak Math: Poor Multilingual: Weak
qwen3.6-35b-a3b-claude-…
Reasoning
19/20
Coding
18/20
Instruction
17/20
Structured
14/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest